Demographics details for Lake worth beach, FL vs Bern, KS
Population Overview
Compare main population characteristics in Lake worth beach, FL vs Bern, KS.
| Data | Lake worth beach | Bern |
|---|---|---|
| Population | 38,548 | 161 |
| Median Age | 36.6 years | 50.9 years |
| Median Income | $42,500 | $61,250 |
| Married Families | 27.0% | 38.0% |
| Poverty Level | 14% | 9% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Lake worth beach vs Bern
- In Lake worth beach, the population is higher at 38,548, compared to 161 in Bern.
- The median age in Bern is higher at 50.9 years, compared to 36.6 years in Lake worth beach.
- Bern has a higher median income of $61,250, compared to $42,500 in Lake worth beach.
- In Bern, the percentage of married families is higher at 38.0%, compared to 27.0% in Lake worth beach.
- Lake worth beach has a higher poverty level at 14% compared to 9% in Bern.
- The unemployment rate in Lake worth beach is higher at 4.1%, compared to 3.5% in Bern.
Demographics
Demographics Lake worth beach vs Bern provide insight into the diversity of the communities to compare.
| Demographic | Lake worth beach | Bern |
|---|---|---|
| Black | 18 | Data is updating |
| White | 32 | 91 |
| Asian | 1 | Data is updating |
| Hispanic | 44 | Data is updating |
| Two or More Races | 3 | 9 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Lake worth beach vs Bern
- A higher percentage of Black residents are in Lake worth beach at 18% compared to 0% in Bern.
- The percentage of White residents is higher in Bern at 91% compared to 32% in Lake worth beach.
- The Asian population is larger in Lake worth beach at 1% compared to 0% in Bern.
- The Hispanic community is larger in Lake worth beach at 44% compared to 0% in Bern.
- The percentage of residents identifying as two or more races is higher in Bern at 9%, compared to 3% in Lake worth beach.
- A greater percentage of American Indian residents live in Lake worth beach at 2% compared to 0% in Bern.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lake worth beach | Bern |
|---|---|---|
| Mental Health Not Good | 17.4% | 15.2% |
| Physical Health Not Good | 15.0% | 10.2% |
| Depression | 18.8% | 19.1% |
| Smoking | 24.3% | 17.9% |
| Binge Drinking | 14.6% | 20.1% |
| Obesity | 32.1% | 39.2% |
| Disability Percentage | 10.0% | 7.0% |
Health Statistics Comparison: Lake worth beach vs Bern
- More residents in Lake worth beach report poor mental health at 17.4% compared to 15.2% in Bern.
- Higher depression rates are seen in Bern at 19.1% versus 18.8% in Lake worth beach.
- Smoking is more prevalent in Lake worth beach at 24.3% compared to 17.9% in Bern.
- More residents engage in binge drinking in Bern at 20.1% compared to 14.6% in Lake worth beach.
- Bern has higher obesity rates at 39.2% compared to 32.1% in Lake worth beach.
- Disability percentages are higher in Lake worth beach at 10.0% compared to 7.0% in Bern.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lake worth beach | Bern |
|---|---|---|
| No Schooling | 4.2% (1,638) | 0.0% (Data is updating) |
| High School Diploma | 14.6% (5,630) | 19.3% (31) |
| Less than High School | 37.5% (14,472) | 9.9% (16) |
| Bachelor's Degree and Higher | 13.1% (5,068) | 20.5% (33) |
Education Levels Comparison: Lake worth beach vs Bern
- A higher percentage of residents in Lake worth beach have no formal schooling at 4.2% compared to 0.0% in Bern.
- In Bern, the rate of residents with high school diplomas is higher at 19.3% compared to 14.6% in Lake worth beach.
- More residents in Lake worth beach have less than a high school education at 37.5% compared to 9.9% in Bern.
- In Bern, a larger share of residents have a bachelor's degree or higher at 20.5% compared to 13.1% in Lake worth beach.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.